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Books > Science & Mathematics > Physics > States of matter > Condensed matter physics (liquids & solids)

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Statistical Methods for Materials Science - The Data Science of Microstructure Characterization (Paperback) Loot Price: R1,507
Discovery Miles 15 070
Statistical Methods for Materials Science - The Data Science of Microstructure Characterization (Paperback): Jeffrey P....

Statistical Methods for Materials Science - The Data Science of Microstructure Characterization (Paperback)

Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef

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Loot Price R1,507 Discovery Miles 15 070 | Repayment Terms: R141 pm x 12*

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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: March 2021
First published: 2019
Editors: Jeffrey P. Simmons • Lawrence F. Drummy • Charles A. Bouman • Marc De Graef
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 514
ISBN-13: 978-0-367-78028-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Physics > States of matter > Condensed matter physics (liquids & solids)
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
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LSN: 0-367-78028-3
Barcode: 9780367780289

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